NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Stance detection

Stance detection is the extraction of a subject’s reaction to a claim made by a primary actor. It is a core part of a set of approaches to fake news assessment.

Example:

Source: “Apples are the most delicious fruit in existence”

Reply: “Obviously not, because that is a reuben from Katz’s”

Stance: deny

RumourEval

The RumourEval 2017 dataset has been used for stance detection in English (subtask A). It features multiple stories and thousands of reply:response pairs, with train, test and evaluation splits each containing a distinct set of over-arching narratives.